On Extracting Probability Distribution Information from Time SeriesReport as inadecuate




On Extracting Probability Distribution Information from Time Series - Download this document for free, or read online. Document in PDF available to download.

1

CIC Buenos Aires, C. C. 67, 1900 La Plata, Argentina

2

Instituto de F ísica La Plata–CCT-CONICET, C.C. 727, 1900 La Plata, Argentina

3

IFISC CSIC-UIB, Campues Universitat Illes Balears, E-07122 Palma de Mallorca, Spain

4

207 Giannini Hall, University of California, Berkeley, Berkeley, CA 94720, USA



Member of the Giannini Foundation.





*

Author to whom correspondence should be addressed.



Abstract Time-series TS are employed in a variety of academic disciplines. In this paper we focus on extracting probability density functions PDFs from TS to gain an insight into the underlying dynamic processes. On discussing this -extraction- problem, we consider two popular approaches that we identify as histograms and Bandt–Pompe. We use an information-theoretic method to objectively compare the information content of the concomitant PDFs. View Full-Text

Keywords: Bandt–Pompe; histograms; time-series Bandt–Pompe; histograms; time-series





Author: Andres M. Kowalski 1,2, Maria Teresa Martin 2, Angelo Plastino 2,3,* and George Judge 4,†

Source: http://mdpi.com/



DOWNLOAD PDF




Related documents